Sreeja S.Nair National Institute of Disaster Management

 Data requirements and phases of Disaster management  Compendium of Environmental statistics by CSO  Opportunities and Challenges – Disaster Managers perspective.  Brief about Hazard and Disaster Statistics, NIDM-CSO framework

 Hazard related data – magnitude, Frequency and spatial distribution  Vulnerability data : Physical, Socio economic and environmental  Disaster data – damages and loss

 Pre-disaster phase : hazard Mapping, Vulnerability Analysis, Assessing Risk, developing decision support systems for early warning and effective response  Post disaster phase : Rapid Situation Analysis, need analysis, relief distribution, damage and loss assessment and recovery planning

 The Compendium of Environment Statistics, prepared under the broad framework by the United Nations Statistical Division adopted by CSO in 1996 and published since 1997  Five parameters ◦ Biodiversity ◦ Atmosphere ◦ Land and Soil ◦ Water ◦ Human Settlements

 Land Uses: Land Uses contains nine fold land classification followed in India, and different land use patterns.  Agriculture: Agriculture contains information on area under principal crops; performance of crop production; use of agricultural inputs; consumption of pesticides statewise and their effect on soil  Mining: The section on Mining gives data on number of mines, production of minerals, mining machinery and consumption of explosives in mining, and status of afforestation.

 Natural disasters : A section on Natural disasters included in the recent compendium (2010)  The section on Natural Disasters contains information on frequently occurring natural disasters; recent natural disasters in India; major earthquakes; number of drought-prone districts and damages due to droughts and cyclonic storms.  7 hazards are included

 data on rain water, surface water, ground water and water quality etc are elaborated and analyzed.  information on rainfall  water flow in streams and ground water resources;  water quality criteria and water quality monitoring,  Water pollution causes and effects etc

 Mainly about Population and Poverty; Housing, Slums and Basic Facilities; and Waste Management  Information on population size, infant mortality rate, and expectation of life at birth, population below the poverty line  housing conditions and basic facilities,  Slums, homeless population  solid waste and hazardous material management etc.

 A national level system – Institutionalized mechanism  Network of trained professionals experienced in capturing data  Annual Publication and freely accessible  Water related data : Surface and ground water and rainfall  Attempt towards capturing Disaster data as part of Environmental Statistics  Human development/ vulnerability data, elaborate and captures indicators  Land degradation, soil erosion,deforestation,Mining

 Environmental data is understood more in the context of pollution e.g. atmospheric data  Not having data from all the states,most of the data is at National level/ state level  Only 7 hazards are included, different time periods, levels and indicators makes it difficult to make comparative analysis  Limited Domain knowledge on data requirements, availability and sources  Accessibility to disaster data

 Although different agencies are capturing data for Disaster management at various levels, no uniform pattern across different states  There was no statistical system to capture and compile the data on disasters (damages and losses) till now  Conceptual framework was developed jointly by NIDM and CSO in 2007 April  NIDM entrusted with the responsibility of compiling hazard Statistics and CSO -Disaster Statistics

 NIDM – Compiled hazard related statistics form IMD, GSI, CWC, Health Department  data collected so far  Details of Major Accident Hazard units are not available at district level  IDSP project data on epidemics and disease outbreaks are available since  Capturing data at administrative unit level (district) is a major challenge  Training officials with the support of CSO initiated since (Data requirement, sources and accessibility ). Online/blended learning with GIZ